Google Data Cloud
Harness the power of a data cloud and start planning for change now
Companies often struggle to remove the barriers that sit between them and their data, with 68% of organizations reporting that they are still unable to realise tangible and measurable value from data.
Google brings data and software together for businesses of all sizes looking to build a data cloud. Google offers the industry’s only unified data platform to take your company beyond anything you can imagine today.
Leading Google Cloud products achieve lower TCO and improved productivity
Google’s data clould solution is
Cloud Spanner
Fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability.
Vertex AI
Build, deploy, and scale ML models faster, with pre trained and custom tooling within a unified AI platform.
%
Lower TCO than cloud data warehouse alternatives
%
Lower TCO compared to on workplaces databases
%
Improvement on data teams’ productivity with Looker
%
Fewer lines of code needed to build custom models
Why Google for your data cloud?
The most unified data and AI solution provider
Freedom of flexibility with an open platform
Built in industry leading ML and AI
Explore key resources
Why an intelligent data cloud is key to digital transformation
When enterprises fail to find ways to integrate, manage and use their data, they leave a lot of value on t.e table. This data value gap continues to widen as the amount of data increases.
Organizations must take steps now to close the gap and support value generation if they want to be able to adapt to the inevitable future disruption that is going to define their business
In this whitepaper Google explores:
- Why businesses need an intelligent data clout to run day to day operations.
- Why data transformation is the key to unlocking more business value.
- How Google can help.
Google’s guide to building a data driven culture
Does the key to business transformation start with your organization’s data culture? Read this guide from Google to learn how to foster a culture that improves agility, intelligence, insights, and trust.
- How embedding AI/ML in the context of business unlocks value from data.
- How data governance and accessibility support data driven decision making.
- How technology lets you focus on the analysis and use of data, not data tool management.
- How to make it easy for users to trust that data is up to date and accurate.